Telebort Program G: Data Preparation & Classification

Which of the following steps are NOT part of the Data Preparation process?

• Data Cleaning

• Data Preprocessing

• Data Training

• Data Splitting

The figure shows the shape of the dataset. Based on that, which of the following statements are correct? (Select 2 options)

• There are a total of 2 data in the dataset

• There are a total of 5 data in the dataset

• Each data has 2 features

• Each data has 5 features

Data Scaling is a technique of converting categorical variables into numerical values so that it can be easily fitted into the machine learning model.

• True

• False

The figure shows the codes of a data scaling process. Based on this, what would be the minimum and maximum value in which the data can be scaled?

• Min: 0

  Max: 100

• Min: 34

  Max: 100

• Min: 0

  Max: 200

• Min: 34

  Max: 200

What is the main purpose of having a testing dataset prepared for the machine learning process?

• To evaluate the performance of the model

• To train the model by allowing it to learn the dataset's pattern

• To speed up the machine learning process by reducing the dataset size

• To remove inaccurate data from the dataset

What is classification?

• A supervised machine learning technique used to predict numerical values

• A supervised machine learning technique used to predict categorical values

• An unsupervised machine learning technique used to predict numerical values

• An unsupervised machine learning technique used to predict categorical values

Which of the following are NOT the properties of the KNN algorithm? (Select 2 options)

• It is a lazy learning algorithm

• It does not make any assumptions of the dataset

• It assumes that each feature in the dataset are independent of each other

• It uses the dataset to build a tree diagram

The figure shows the graph with data points plotted onto it. By using KNN with K=3, which color will the white data point be grouped into?

• Red

• Blue

• None of the above

The figure shows a decision tree. What is the label of the highlighted node?

• Leaf node

• Root node

• Parent node

• Normal node

What is the assumption made when using the Naive Bayes algorithm in classification?

• Each data are assumed to be independent of each other

• The algorithm is assumed to be a lazy learner

• Each features are assumed to be independent of each other

• Each features are assumed to be dependent of each other